• Data-driven Detection and Identification of Undesirable Events in Subsea Oil Wells 

      Brønstad, Chrisander; Netto, Sergio L.; Ramos, Antonio L. L. (Journal article, 2021)
      Condition-Based Monitoring (CBM) systems have grown in popularity in recent years owing to innovations in areas, such as sensor-technology, communication systems, and computing. That has fostered the development of more ...
    • Diesel Engine Fault Prediction Using Artificial Intelligence Regression Methods 

      Viana, Denys P.; de Sá Só Martins, Dionísio H. C.; de Lima, Amaro A.; Silva, Fabrício; Pinto, Milena F.; Gutiérrez, Ricardo H. R.; Monteiro, Ulisses A.; Vaz, Luiz A.; Prego, Thiago; de Alcantara Andrade, Fabio Augusto; Tarrataca, Luís; Haddad, Diego B. (Peer reviewed; Journal article, 2023)
      Predictive maintenance has been employed to reduce maintenance costs and production losses and to prevent any failure before it occurs. The framework proposed in this work performs diesel engine prognosis by evaluating the ...
    • Hybrid Machine Learning and Mechanistic Thermal Model of Synchronous Generator 

      Aleikish, Khaled (Master thesis, 2020)
      Strict constraints are imposed on the power factor in the operation of the synchronous machines for electricity production, which are in place to protect the synchronous generators from overheating due to the increase in ...